$Micron Technology(MU)$  


$Micron Technology(MU)$ Investment Thesis

The U.S. major indexes closed as follows: Dow Jones up 0.61% at 51,778.04; S&P 500 up 1.14% at 7,637.76; NASDAQ up 1.69% at 26,418.30. Investors embraced a strong rebound after the prior session’s rate-hike turbulence, with technology shares spearheading gains across the board.Chipmakers and megacaps dominated the list of unusual movers, riding renewed enthusiasm for artificial-intelligence plays.

Micron Technology (MU) up 5.50% at $977.50; Intel (INTC) up 7.67% at $108.80; Advanced Micro Devices (AMD) up 6.36% at $545.09; NVIDIA (NVDA) up 2.54% at $219.34; Apple (AAPL) up 1.38% at $337.00; Tesla (TSLA) up 2.27% at $366.20; and Oracle (ORCL) up 5.19% at $150.59 all booked notable advances. Conversely, CoreWeave (CRWV) fell 4.16% at $79.88, bucking the broader tech uptrend.Stronger-than-expected demand for AI hardware, coupled with easing Treasury yields, fueled risk appetite.

Traders also welcomed the Federal Reserve’s clear commitment to containing inflation, interpreting the latest hike as a sign of policy resolve rather than a drag on growth. Semiconductors, cloud infrastructure and EV leaders captured fresh inflows, while rate-sensitive defensive pockets lagged. Overall, breadth improved markedly, helping the S&P 500 log its best one-day percentage gain in over six weeks.


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  • daz999999999
    ·09-24 08:24
    $Micron Technology(MU)$  


    Abstract

    Micron Technology will report quarterly results on September 30, 2026, Post-Mkt; this preview outlines consensus revenue, margin and EPS expectations, last-quarter performance highlights, and the outlook for key business segments and stock-price drivers.

    Market Forecast

    Based on the company’s guided framework and market tracking, this quarter’s revenue estimate is 50.62 billion US dollars with a year-over-year increase of 3.51%, forecast EBIT is 41.92 billion US dollars with a year-over-year increase of 1,040.56%, and forecast EPS is 31.30 with a year-over-year increase of 994.40%; while consolidated gross margin and adjusted EPS guidance ranges are not explicitly repeated in market data, the company’s prior disclosure cadence implies a sequentially improving profit mix. Market models imply an upward revenue mix led by data center and cloud memory demand, with mobile and client steady, and auto and embedded continuing to expand from a smaller base; the most promising segment is cloud memory at 13.77 billion US dollars with robust year-over-year expansion implied by the high-teens to low-twenties growth backdrop.

    Last Quarter Review

    Micron Technology’s previous quarter delivered revenue of 41.46 billion US dollars, a gross profit margin of 84.56%, GAAP net profit attributable to the parent company of 28.24 billion US dollars with a quarter-on-quarter change of 104.88, a net profit margin of 68.13%, and adjusted EPS of 25.11 with a year-over-year increase of 12.15. The quarter also exceeded prior consensus with an EBIT of 33.68 billion US dollars and a revenue surprise, reflecting improved average selling prices and disciplined cost control. Main business highlights included cloud memory revenue of 13.77 billion US dollars and core data center revenue of 11.52 billion US dollars, with mobile and client at 11.52 billion US dollars and auto and embedded at 4.63 billion US dollars; the mix pointed to outsized contribution from cloud and data-center demand.

    Current Quarter Outlook (with major analytical insights)

    Main business: Data center and cloud memory

    Cloud and data center memory shipments remain the headline driver for topline and margin progression this quarter. The forecast revenue mix indicates continued strength in high-bandwidth and high-capacity DRAM configured for accelerated compute buildouts, which is consistent with the rising share of cloud deployments in overall shipments. Price discipline in premium configurations supports blended gross margin resilience, while node migration and yield improvements are expected to aid unit cost reductions. Given the scale of AI-related infrastructure deployments, backlog coverage combined with shipment velocity should sustain sequential revenue growth, even if unit pricing normalizes in some legacy configurations.



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